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15:44ENOpenClaw, Moltbook and the Question of an Agent InternetMatthew Berman · Forward FutureMatthew Berman surveys early agent social networks and marketplaces, weighs enthusiasm against security concerns, and considers what their behavior does—and does not—show.
1:50:59ENForward Future Live: Robot Autonomy, AI Video and OpenClaw's Early GrowthMatthew Berman, Nick Wentz, Nikita Rudin, Alex Mashrabov, Peter Steinberger · Forward FutureNikita Rudin explains Flexion's robot software, Alex Mashrabov discusses AI video for marketers, and Peter Steinberger describes OpenClaw's possibilities and security challenges.
12:23ENMoltbook: An AI Agent Social Network and Its Security QuestionsMatthew Berman · Forward FutureMatthew Berman explores conversations attributed to AI agents on Moltbook and considers privacy, manipulation and operating costs.
1:07ENMatthew Berman's Early Clawdbot Assistant: Research, Alerts and PersonalityMatthew Berman · Forward FutureA January 2026 demonstration shows a personal agent preparing a video outline and describes configurable behavior and proactive email assistance.
21:12ENClawdbot as a Personal AI Assistant: Workflows, Costs and RisksMatthew Berman · Forward FutureMatthew Berman demonstrates a local agent connected to messaging, cloud services and models, and reports what worked, failed and cost more than expected.
1:41:34ENThey Owned the Camera Partition—and Still Couldn't Crash the HelicopterModeration: Nathan LabenzKathleen Fisher and Byron Cook tell Nathan Labenz how formal methods turn some software bugs into closed cases, from a DARPA helicopter to AWS policies checked a billion times a second.
1:13:24ENRed Teams Still Land 25% of Attacks. Insurance Is the Brake.Moderation: Nathan LabenzAI Underwriting Company co-founders Rune Kvist and Rajiv Dattani tell Nathan Labenz how standards, audits, and insurance could unlock enterprise agents without waiting for a nuclear-style freeze.
40:24ENMicrosoft’s Jay Parikh on AI Infrastructure, Model Choice and Agent SecurityMatthew Berman, Jay Parikh · Forward FutureThe CoreAI leader discusses power constraints, developer workflows, enterprise models and why he measures outcomes rather than generated lines of code.
18:04ENAnthropic’s Report on an AI-Orchestrated Espionage CampaignMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s account of a 2025 cyber-espionage operation, its claimed automation and its limitations.
59:03ENJoelle Pineau on Scaling, Reinforcement Learning and Enterprise AIGast: Joelle Pineau · Moderation: Harry StebbingsCohere’s chief AI officer discusses research uncertainty, agent security, synthetic data and the difference between benchmarks and useful work.
44:10ENOne Model Talked Another Into Slack Off — Then Uninstalled Windows DefenderIrregular co-founder Dan Lahav tells Sequoia’s Training Data why frontier AI security has to be invented from scratch as models become autonomous economic actors.
2:49:12ENWhy China's Master Plan for AI Never Mentions AGIModeration: Nathan LabenzBeijing-based Concordia AI CEO Brian Tse on China's safety rules, chip strategy, and why the two ecosystems look more alike than Washington assumes.
58:21ENAttacks Take 23 Minutes. Response Still Takes Days.Moderation: Sarah Guo, Elad GilPalo Alto Networks CEO Nikesh Arora on how AI is remaking search, enterprise software, and the timeline of a cyberattack.
1:28:17ENAdam Gleave's Three Capability Tiers: Attack Agents in 5–7 Years, Fully AI Companies Around Year 14Moderation: Nathan LabenzFAR.AI and the UK AI Security Institute stacked adversarial attacks on frontier safeguard pipelines and found many breakthroughs were engineering failures, not a verdict against defense in depth.
1:32:47ENA transformer co-author wants a $160 million model no company ownsModeration: Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.
2:04:27ENA 10% Chance of an AI-Enabled Coup in the Next 30 YearsModeration: Nathan LabenzTom Davidson maps three ways superintelligent systems could help a head of state or a lab CEO lock in power—and argues the window for building safeguards is short.
1:51:24ENFrontier AI Insiders Don't Trust Regulators. A Berlin Group Built Them an Anonymous Off-RampModeration: Nathan LabenzKarl Koch of the AI Whistleblower Initiative on gray-zone fears, retaliation, and a Tor-based way to ask for help before you decide anything.
0:54ENSatya Nadella on Separating Personal and Work AI AgentsMatthew Berman, Satya Nadella · Forward FutureIn an interview excerpt, Microsoft CEO Satya Nadella discusses identity boundaries and the risk of data leakage between personal and corporate agents.
1:44:11EN100 deaths or $1 billion: a 15-page New York bill would set a floor for frontier labsModeration: Nathan LabenzAssembly member Alex Bores walks through the RAISE Act’s four requirements, its DeepSeek-inspired distillation clause, and why he says a 50-state patchwork is a fake problem until one state actually passes a law.
2:02:51ENAt a 60-Person Safety Offsite, Only Four Had Seen Nonprofit OpenAIModeration: Nathan LabenzFormer OpenAI scientist Steven Adler on the Anthropic split, GPT-4, safety evaluations, and why he filed a brief to keep the company under nonprofit control.
2:29:00ENAssume the Model Is Already Scheming — Then Put It to WorkModeration: Nathan LabenzRedwood Research CEO Buck Shlegeris tells Rob Wiblin how to extract useful labor from AIs you cannot certify as aligned, using audits, honeypots, resampling, and factored cognition.
2:01:42ENHe Put 40 Percent on AI Takeover in Two Years, Then Bought a Bio ShelterModeration: Nathan LabenzRedwood Research's Josh Clymer walks through a disturbingly grounded story of how a misaligned model could seize a lab, a biosphere, and a civilization before 2027.
2:10:07ENA $30,000 Operation Could Knock a $10 Billion Superintelligence Data Center Offline for a YearModeration: Nathan LabenzGladstone AI’s Jeremy and Edouard Harris inventory what an American Manhattan Project for superintelligence would actually have to secure — and what it would cost in concrete, supply chains, and civil liberties.
1:28:01ENThe Q* Letter Never Happened: Helen Toner on OpenAI, Adaptation Buffers, and AI at WarModeration: Nathan LabenzThe former OpenAI director explains why a famous Reuters story was false, why locking down AI will not work, and how military “battle buddy” demos skip the hard questions.
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